MIXED QUALITATIVE, QUANTITATIVE SENSING DATA COMPRESSION OVER A NETWORK TRANSPORT

    公开(公告)号:US20210152668A1

    公开(公告)日:2021-05-20

    申请号:US17128374

    申请日:2020-12-21

    Abstract: In one embodiment, a device in a serial network de-multiplexes a stream of traffic in the serial network into a plurality of data streams. The device determines that data from a particular data stream should be reported to an entity external to the serial network based on an event indicated by the data from the particular data stream. The device quantizes the data from the particular data stream. The device applies compression to the quantized data to form a compressed representation of the particular data stream. The applied compression is selected based on a data type associated with the data. The device sends a compressed representation of the particular data stream to the external entity as Internet Protocol (IP) traffic.

    TELEMETRY REPORTING IN VEHICLE SUPER RESOLUTION SYSTEMS

    公开(公告)号:US20190266484A1

    公开(公告)日:2019-08-29

    申请号:US15907952

    申请日:2018-02-28

    Abstract: In one embodiment, a processor of a vehicle detects a difference between a physical characteristic of the vehicle predicted by a first machine learning-based model and a physical characteristic of the vehicle indicated by telemetry data generated by a sub-system of the vehicle. The processor forms a packet payload of an update packet indicative of the detected difference, based in part on a relevancy of the physical characteristic to the first machine learning-based model. The processor applies a synchronization strategy to the update packet, to synchronize the update packet with a second machine learning-based model executed by a receiver. The processor sends the update packet to the receiver via a network, to update the second machine learning-based model.

    Internet protocol (IP) network virtualization of serial network endpoints

    公开(公告)号:US10333887B2

    公开(公告)日:2019-06-25

    申请号:US15236918

    申请日:2016-08-15

    Abstract: In one embodiment, a network device connected to an Internet Protocol (IP) network and a serial network scans an infrastructure of the serial network. Based on the scanning, the network device can determine one or more serial endpoints within the serial network infrastructure, and may then allocate an IP address to each of the one or more serial endpoints. The network device may then map received IP network traffic into serial protocol commands on the serial network for a destination serial endpoint having an allocated IP address corresponding to a destination IP address of the received IP network traffic, and may also bridge data present on the serial network from a sourcing serial endpoint into an IP message on the IP network with an indication of a corresponding allocated IP address of the sourcing serial endpoint, accordingly.

    Distributing data analytics in a hierarchical network based on computational complexity

    公开(公告)号:US10291494B2

    公开(公告)日:2019-05-14

    申请号:US15133631

    申请日:2016-04-20

    Abstract: A method provided in a network including edge devices to collect data from data producers connected to the edge devices and to communicate with cloud-based prosumers connected with the edge devices. Data analytics tasks are identified. The data analytics tasks are used to process data collected from a data producer among the data producers to produce a result for consumption by one or more of the cloud-based prosumers. For each data analytics task it is determined whether a computational complexity of the data analytics task is less than or equal to a predetermined computational complexity. Each data analytics task determined to have a computational complexity less than or equal to the predetermined computational complexity is assigned to an edge device among the edge devices. Each data analytics task determined to have a computational complexity that exceeds the predetermined computational complexity is assigned to a prosumer among the prosumers.

    INTERFACING A VEHICLE WITH A FOG DEVICE DURING FUELING

    公开(公告)号:US20180315258A1

    公开(公告)日:2018-11-01

    申请号:US15498095

    申请日:2017-04-26

    Abstract: In one embodiment, a fog computing-based fueling kiosk forms a fueling connection with a vehicle and a direct network connection between the kiosk and a gateway for a network of the vehicle. The fueling kiosk provides energy to the vehicle via the fueling connection and receives, via the network connection with the gateway for the network of the vehicle, operational data from the network of the vehicle, while providing the energy to the vehicle via the fueling connection. The fueling kiosk performs an analysis of the received operational data from the vehicle and provides a result of the performed analysis to a remote device.

    DISTRIBUTING DATA ANALYTICS IN A HIERARCHICAL NETWORK BASED ON COMPUTATIONAL COMPLEXITY

    公开(公告)号:US20170310565A1

    公开(公告)日:2017-10-26

    申请号:US15133631

    申请日:2016-04-20

    CPC classification number: H04L43/04 H04L41/14

    Abstract: A method provided in a network including edge devices to collect data from data producers connected to the edge devices and to communicate with cloud-based prosumers connected with the edge devices. Data analytics tasks are identified. The data analytics tasks are used to process data collected from a data producer among the data producers to produce a result for consumption by one or more of the cloud-based prosumers. For each data analytics task it is determined whether a computational complexity of the data analytics task is less than or equal to a predetermined computational complexity. Each data analytics task determined to have a computational complexity less than or equal to the predetermined computational complexity is assigned to an edge device among the edge devices. Each data analytics task determined to have a computational complexity that exceeds the predetermined computational complexity is assigned to a prosumer among the prosumers.

    EFFICIENT ACQUISITION OF SENSOR DATA IN AN AUTOMATED MANNER
    49.
    发明申请
    EFFICIENT ACQUISITION OF SENSOR DATA IN AN AUTOMATED MANNER 有权
    高效地获取自动化手册中的传感器数据

    公开(公告)号:US20150312125A1

    公开(公告)日:2015-10-29

    申请号:US14532273

    申请日:2014-11-04

    CPC classification number: H04L43/0876 H04L65/80 H04L67/12 H04L69/22

    Abstract: Information describing a rule to be applied to a traffic stream is received at an edge network device. The traffic stream is received at the edge network device. A preliminary data analysis of the traffic stream is performed at the edge network device in accordance with the rule. A determination is made that further analysis of the traffic stream should be performed from a result of the preliminary analysis. The traffic stream data is sent to another network device for further analysis.

    Abstract translation: 在边缘网络设备处接收描述应用于业务流的规则的信息。 在边缘网络设备处接收业务流。 根据规则,在边缘网络设备处进行业务流的初步数据分析。 确定应从初步分析结果对流量进行进一步分析。 业务流数据被发送到另一个网络设备进行进一步的分析。

    SYSTEM AND METHOD FOR USING NETWORK MOBILITY EVENTS TO BUILD ADVERTISING DEMOGRAPHICS
    50.
    发明申请
    SYSTEM AND METHOD FOR USING NETWORK MOBILITY EVENTS TO BUILD ADVERTISING DEMOGRAPHICS 审中-公开
    使用网络移动性事件构建广告人口统计的系统和方法

    公开(公告)号:US20150112767A1

    公开(公告)日:2015-04-23

    申请号:US14056514

    申请日:2013-10-17

    CPC classification number: G06Q30/0205

    Abstract: An example method is provided in one example embodiment and includes receiving a mobility event message for a first user equipment; determining demographic information for a first subscriber associated with the first user equipment; determining a location of the first subscriber in relation to a first network domain; identifying one or more advertising domains in relation to the location of the first subscriber based on the first network domain; determining a modeling function based on the mobility event message and the location of the first subscriber in relation to the identified advertising domains; updating, based on the modeling function, one or more demographic models for each of the identified one or more advertising domains using the demographic information for the first subscriber; and following the updating, calculating demographic information for all subscribers for each of the updated one or more demographic models for the identified advertising domains.

    Abstract translation: 在一个示例实施例中提供了示例性方法,并且包括接收用于第一用户设备的移动性事件消息; 确定与所述第一用户设备相关联的第一用户的人口统计信息; 确定第一用户相对于第一网络域的位置; 基于所述第一网络域识别关于所述第一订户的位置的一个或多个广告域; 基于所述移动性事件消息和所述第一订户相对于所识别的广告域的位置来确定建模功能; 基于所述建模功能,使用所述第一用户的人口统计信息更新所识别的一个或多个广告域中的每一个的一个或多个人口统计模型; 并且在所述更新之后,针对所识别的广告域的每个更新的一个或多个人口统计模型来计算所有订户的人口统计信息。

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